A Neural Chaos Model of Multistable Perception

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dc.creatorNagao, Natsuki
dc.creatorNishimura, Haruhiko
dc.creatorMatsui, Nobuyuki
dc.date2000-02-24
dc.date2000-02-26
dc.date.accessioned2026-07-07T05:32:42Z
dc.date.available2026-07-07T05:32:42Z
dc.descriptionWe present a perception model of ambiguous patterns based on the chaotic neural network and investigate the characteristics through computer simulations. The results induced by the chaotic activity are similar to those of psychophysical experiments and it is difficult for the stochastic activity to reproduce them in the same simple framework. Our demonstration suggests functional usefulness of the chaotic activity in perceptual systems even at higher cognitive levels. The perceptual alternation may be an inherent feature built in the chaotic neuron assembly.
dc.description10 pages, 9 figures, to be published in Neural Processing Letters
dc.identifierhttps://arxiv.org/abs/nlin/0002046
dc.identifierhttp://arxiv.org/abs/nlin/0002046
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/79750
dc.subjectChaotic Dynamics
dc.subjectAdaptation and Self-Organizing Systems
dc.subjectQuantitative Biology
dc.titleA Neural Chaos Model of Multistable Perception
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